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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Комплекс научно-методических и проектных разработок для развития интеллектуального капитала высшей школы

Вестник Удмуртского университета. Серия Философия. Психология. Педагогика. 2022. Т. 32. № 2. С. 203–209.
Lyapuntsova E. V., Белозерова Ю. М.

The article analyzes the results of the implementation of the social project "Golden Names of Higher Education" for the period
from 2017 to 2022. It is noted that an urgent problem is to increase the social status of the profession
of "higher school teacher" through the implementation of a large-scale social project. The purpose is to summarize the results of the implementation of a social project as a complex of scientific, methodological and design developments for
development of intellectual capital of higher education with the use of project and system approaches. The authors put forward a hypothesis about the possibility of improving the quality of higher education through the formation and development of a professional community of university teachers. As the results of the work, the effectiveness of the project on the formation and development of a professional community of teachers of
higher education organizations is shown. The authors, being project managers, conclude that the success of the main
directions of its implementation: identification of talents and motivation to improve the quality of work of the teaching staff of universities, research work, development of educational programs
and textbooks for novice teachers, professional development of teachers, educational
work, public and expert work, exchange of experience and organization of interuniversity interaction. The main discussion platforms are indicated: the Public Chamber of the Russian Federation, the Presidential Grants Fund, the Ministry of Education and Science of the Russian Federation, the Committee on Science and Higher Education of the State Duma of the Russian Federation, where
the results of the project were presented.

Language: Russian
DOI
Text on another site
Keywords: высшая школапреподаватели вузов high schooluniversity teachersprofessional community of teachersachievements in the professionпрофессиональное сообщество преподавателейдостижения в профессии
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